Relevant bibliographies by topics / CFNN

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CFNN'

Author: Grafiati
Published: 5 June 2025
Last updated: 11 July 2025

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Journal articles on the topic "CFNN"

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Alghamdi, Mohammed I. "A Hybrid Model for Intrusion Detection in IoT Applications." Wireless Communications and Mobile Computing 2022 (May 14, 2022): 1–9. http://dx.doi.org/10.1155/2022/4553502.

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Internet of Things (IoT) networks has recently become an important component of smart cities, smart buildings, health care, and other applications. It finds it beneficial due to the inherent characteristics of low cost, compact, and low-powered IoT devices. At the same time, security remains a challenging issue in the design of IoT networks. Intrusion detection systems (IDS) can be used to identify the occurrence of intrusions in the network, i.e., abnormal activities in the network. The latest advances in machine learning (ML) and metaheuristics can be employed to design effective IDS models for IoT networks. This article develops a novel political optimizer with cascade forward neural network (PO-CFNN-)-based IDS in the IoT environment. The major intention of the PO-CFNN technique is to determine the occurrence of intrusions from the IoT environment. The PO-CFNN technique follows three major processes, namely, preprocessing, classification, and parameter optimization. Initially, the networking data is preprocessed to transform it into a useful format. Following that, the CFNN technique is employed for the identification and classification of intrusions in the IoT environment. In the final stage, the PO algorithm is applied for the optimal adjustment of the parameters involved in the CFNN model. The experimental validation of the PO-CFNN technique on a benchmark dataset stated the better outcomes of the PO-CFNN technique over recent approaches.
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Lin, Cheng-Jian, Chun-Hui Lin, and Frank Lin. "Bearing Fault Diagnosis Using a Vector-Based Convolutional Fuzzy Neural Network." Applied Sciences 13, no. 5 (2023): 3337. http://dx.doi.org/10.3390/app13053337.

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The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (vector-CFNN) was developed in this study to diagnose faults from signals. The developed vector-CFNN mainly comprises a feature extraction part and a classification part. The feature extraction phase encompasses the use of convolutional layers and pooling layers, while the classification phase is facilitated through the deployment of a fuzzy neural network. The fusion layer plays an important role by being placed between the feature extraction and classification parts. It combines the characteristics and then passes the feature information to the classification part to improve the model’s performance. The developed vector-CFNN was experimentally evaluated against existing fusion methods; vector-CFNN required fewer parameters and achieved the highest average accuracy (99.84%) in fault diagnosis relative to conventional neural networks, fuzzy neural networks, and convolutional neural networks. Moreover, vector-CFNN achieved superior fault diagnosis using spindle vibration signals and required fewer parameters relative to its counterparts, indicating its feasibility for online spindle vibration monitoring.
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Lin, Cheng-Jian, Min-Su Huang, and Chin-Ling Lee. "Malware Classification Using Convolutional Fuzzy Neural Networks Based on Feature Fusion and the Taguchi Method." Applied Sciences 12, no. 24 (2022): 12937. http://dx.doi.org/10.3390/app122412937.

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The applications of computer networks are increasingly extensive, and networks can be remotely controlled and monitored. Cyber hackers can exploit vulnerabilities and steal crucial data or conduct remote surveillance through malicious programs. The frequency of malware attacks is increasing, and malicious programs are constantly being updated. Therefore, more effective malware detection techniques are being developed. In this paper, a convolutional fuzzy neural network (CFNN) based on feature fusion and the Taguchi method is proposed for malware image classification; this network is referred to as FT-CFNN. Four fusion methods are proposed for the FT-CFNN, namely global max pooling fusion, global average pooling fusion, channel global max pooling fusion, and channel global average pooling fusion. Data are fed into this network architecture and then passed through two convolutional layers and two max pooling layers. The feature fusion layer is used to reduce the feature size and integrate the network information. Finally, a fuzzy neural network is used for classification. In addition, the Taguchi method is used to determine optimal parameter combinations to improve classification accuracy. This study used the Malimg dataset to evaluate the accuracy of the proposed classification method. The accuracy values exhibited by the proposed FT-CFNN, proposed CFNN, and original LeNet model in malware family classification were 98.61%, 98.13%, and 96.68%, respectively.
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Tan, Kuang-Hsiung, Faa-Jeng Lin, Chao-Yang Tsai, and Yung-Ruei Chang. "A Distribution Static Compensator Using a CFNN-AMF Controller for Power Quality Improvement and DC-Link Voltage Regulation." Energies 11, no. 8 (2018): 1996. http://dx.doi.org/10.3390/en11081996.

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A distribution static compensator (DSTATCOM) is proposed in this study to improve the power quality, which includes the total harmonic distortion (THD) of the grid current and power factor (PF), of a mini grid with nonlinear and linear inductive loads. Moreover, the DC-link voltage regulation control of the DSTATCOM is essential especially under load variation conditions. Therefore, to improve the power quality and keep the DC-link voltage of the DSTATCOM constant under the variation of nonlinear and linear loads effectively, the traditional proportional-integral (PI) controller is substituted with a new online trained compensatory fuzzy neural network with an asymmetric membership function (CFNN-AMF) controller. In the proposed CFNN-AMF, the compensatory parameter to integrate pessimistic and optimistic operations of fuzzy systems is embedded in the CFNN. Furthermore, the dimensions of the Gaussian membership functions are directly extended to AMFs for the optimization of the fuzzy rules and the upgrade of learning ability of the networks. In addition, the network structure and online learning algorithm of the proposed CFNN-AMF are introduced in detail. Finally, the effectiveness and feasibility of the DSTATCOM using the proposed CFNN-AMF controller to improve the power quality and maintain the constant DC-link voltage under the change of nonlinear and linear inductive loads have been demonstrated by some experimental results.
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Ebadzadeh, Mohammad Mehdi, and Armin Salimi-Badr. "CFNN: Correlated fuzzy neural network." Neurocomputing 148 (January 2015): 430–44. http://dx.doi.org/10.1016/j.neucom.2014.07.021.

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Hassoon, Israa Mohammed, and Shaymaa Akram Hantoosh. "CFNN for Identifying Poisonous Plants." Baghdad Science Journal 20, no. 3(Suppl.) (2023): 1122. http://dx.doi.org/10.21123/bsj.2023.7874.

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Identification of poisonous plants is a hard challenge for researchers because of the great similarity between poisonous and non- poisonous plants. Traditional methods to identify poisonous plant can be tiresome, therefore, automated poisonous plants identification system is needed. In this work, cascade forward neural network framework is proposed to identify poisonous plants based on their leaves. The proposed system was evaluated on both (poisonous leaves/non-poisonous leaves) which are collected using smart phone and internet. Combination of shape features and statistical features are extracted from leaf then fed to cascade-forward neural network which used TRAINLM function for training. 500 samples of leaf images are used, 250 samples are poisonous, the remaining 250 samples are non-poisonous.300 samples used in training, 200 samples for testing. Our system is achieved an accuracy value of 99.5%.
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A. S., Rajesh, M. S. Prabhuswamy, and Ishwarya Komalnu Raghavan. "Modelling and Analysis of Surface Roughness Using the Cascade Forward Neural Network (CFNN) in Turning of Inconel 625." Advances in Materials Science and Engineering 2022 (October 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/7520962.

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In this paper, the influence of process components on surface roughness in turning of Inconel 625 using cubic boron nitride (CBN) is studied. A predictive model is developed to forecast the surface roughness using the cascade forward neural network (CFNN). The experiments are designed based on Taguchi. L27 orthogonal array (OA) is used to perform the experimental trails by considering speed, feed, and depth of cut as input factors. Out of 27 experimental trails, 18 experiments are used for training and 9 experimental trails are used for testing. The developed predictive model by the CFNN is compared with regression model values. The average prediction error for surface roughness is 2.94% with R2 = 99.99% by the CFNN. The CFNN is known to be superior to predict the response with minimum of percentage error. The minimum and maximum roughness observed at trail 8 and trail 20 is noted, respectively, and the increases in roughness at experimental trail 8 is equal to 3.384 times higher than the roughness observed at experimental trail.20. The feed rate dominates effectively on the roughness rather than other factors. The consequences of process factors on surface roughness are studied with the help of ANOVA. This experimental study and developed model would be used for aero parts manufacturing to forecast the roughness accurately before to the actual experiment so that actual machining and material cost could be avoided.
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Kaveh, M., and R. A. Chayjan. "Mathematical and neural network modelling of terebinth fruit under fluidized bed drying." Research in Agricultural Engineering 61, No. 2 (2016): 55–65. http://dx.doi.org/10.17221/56/2013-rae.

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The paper presents an application which uses Feed Forward Neural Networks (FFNNs) to model the non-linear behaviour of the terebinth fruit drying. Mathematical models and Artificial Neural Networks (ANNs) were used for prediction of effective moisture diffusivity, specific energy consumption, shrinkage, drying rate and moisture ratio in terebinth fruit. Feed Forward Neural Network (FFBP) and Cascade Forward Neural Network (CFNN) as well as training algorithms of Levenberg-Marquardt (LM) and Bayesian regularization (BR) were used. Air temperature and velocity limits were 40–80°C and 0.81–4.35 m/s, respectively. The best outcome for the use of ANN for the effective moisture diffusivity appertained to CFNN network with BR training algorithm, topology of 2-3-1 and threshold function of TANSIG. Similarly, the best outcome for the use of ANN for drying rate and moisture ratio also appertained to CFNN network with LM training algorithm, topology of 3-2-4-2 and threshold function of TANSIG.
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Alipour Bonab, Shahin, Wenjuan Song, and Mohammad Yazdani-Asrami. "A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines." Applied Sciences 13, no. 20 (2023): 11180. http://dx.doi.org/10.3390/app132011180.

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The evaluation and estimation of the electric and magnetic field (EMF) intensity in the vicinity of overhead transmission lines (OHTL) is of paramount importance for residents’ healthcare and industrial monitoring purposes. Using artificial intelligence (AI) techniques makes researchers able to estimate EMF with extremely high accuracy in a significantly short time. In this paper, two models based on the Artificial Neural Network (ANN) have been developed for estimating electric and magnetic fields, i.e., feed-forward neural network (FFNN) and cascade-forward neural network (CFNN). By performing the sensitivity analysis on controlling/hyper-parameters of these two ANN models, the best setup resulting in the highest possible accuracy considering their response time has been chosen. Overall, the CFNN achieved a significant 56% reduction in Root Mean Squared Error (RMSE) for the electric field and a 5% reduction for the magnetic field, compared to the FFNN. This indicates that the CFNN model provided more accurate predictions, particularly for the electric field than the proposed methods in other recent works, making it a promising choice for this application. When the model is trained, it will be tested by a different dataset. Then, the accuracy and response time of the model for new data points of that layout will be evaluated through this process. The model can predict the fields with an accuracy near 99.999% of the actual values in times under 10 ms. Also, the results of sensitivity analysis indicated that the CFNN models with triple and double hidden layers are the best options for the electric and magnetic field estimation, respectively.
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Ituabhor, Odesanya, Joseph Isabona, Jangfa T. zhimwang, and Ikechi Risi. "Cascade Forward Neural Networks-based Adaptive Model for Real-time Adaptive Learning of Stochastic Signal Power Datasets." International Journal of Computer Network and Information Security 14, no. 3 (2022): 63–74. http://dx.doi.org/10.5815/ijcnis.2022.03.05.

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In this work, adaptive learning of a monitored real-time stochastic phenomenon over an operational LTE broadband radio network interface is proposed using cascade forward neural network (CFNN) model. The optimal architecture of the model has been implemented computationally in the input and hidden units by means of incremental search process. Particularly, we have applied the proposed adaptive-based cascaded forward neural network model for realistic learning of practical signal data taken from an operational LTE cellular network. The performance of the adaptive learning model is compared with a benchmark feedforward neural network model (FFNN) using a number of measured stochastic SINR datasets obtained over a period of three months at two indoors and outdoors locations of the LTE network. The results showed that proposed CFNN model provided the best adaptive learning performance (0.9310 RMSE; 0.8669 MSE; 0.5210 MAE; 0.9311 R), compared to the benchmark FFNN model (1.0566 RMSE; 1.1164 MSE; 0.5568 MAE; 0.9131 R) in the first studied outdoor location. Similar robust performances were attained for the proposed CFNN model in other locations, thus indicating that it is superior to FFNN model for adaptive learning of real-time stochastic phenomenon.
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Dissertations / Theses on the topic "CFNN"

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Samuelsson, Wilhelm, and Britta Björklund. "CFOn som strategisk affärspartner : En studie på den svenska marknaden." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227468.

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Forskning har visat att företags ekonomifunktioner de senaste åren genomgått en förändring, från att tidigare arbetat med klassiska ekonomi-relaterade uppgifter till att bli mer involverade i företagens strategiarbete och beslutsprocesser. Syftet med studien var att förklara hur långt chefen för ekonomifunktionen, CFOn, har kommit i sin rollutveckling mot strategiskt affärspartnerskap i Sverige, samt vilka organisatoriska förutsättningar och personliga karaktärsdrag som CFOs själva anser är viktiga för att uppnå ett framgångsrikt strategiskt affärspartnerskap. Som teoretisk utgångspunkt användes ett ramverk kring management accountants (MAs), då en jämförelse av akademisk forskning av MAs och praktisk forskning av CFOn, indikerar stora likheter mellan dessa roller. Studien genomfördes i form av en kvalitativ studie av fem CFOs för stora, svenska företag. Det framkom att CFOerna i undersökningen har kommit långt i utvecklingen av sin strategiska roll, samt att de personliga karaktärsdragen och organisatoriska förutsättningarna liknar de som studerats för MAs, med några viktiga skillnader.
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Plaufcan, Melissa R. "An Examination of Social Cognitive Precursors of Lesbians’ Vocational Interests." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1310435272.

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Cardoso, Maria Lourdes. "Reforma curricular em Timor-Leste : estudo exploratório sobre a disciplina de ciências físico-naturais no ensino básico." Master's thesis, 2012. http://hdl.handle.net/1822/23947.

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Dissertação de mestrado em Ciências da Educação (área de especialização em Desenvolvimento Curricular)<br>Como o próprio título indica, este estudo enquadra-se no âmbito da atual reforma curricular do 3º ciclo do Ensino Básico, especificamente ao nível da disciplina de Ciências Físico-Naturais do 7º ano de escolaridade. Como objetivos do trabalho procurámos: (i) conhecer as opiniões dos professores do 3º Ciclo do Ensino Básico sobre a Reforma Curricular em curso, em Timor-Leste; (ii) analisar as principais diferenças entre o anterior e o atual programa de Ciências Físico-Naturais, do 7º ano de escolaridade; (iii) compreender como é que os professores de Ciências Físico-Naturais, do 3º ciclo do Ensino Básico, se têm adaptado à mudança do programa desta disciplina; (iv) identificar as principais dificuldades e/ou constrangimentos com que os professores se deparam na implementação do novo programa de Ciências Físico-Naturais, no 7º ano de escolaridade. Para o efeito, realizou‐se um estudo exploratório de natureza qualitativa. Os participantes foram cinco diretores das escolas, um diretor geral do currículo da Escola Básica e seis professores que lecionam a disciplina de Ciências Físico- Naturais no 7º ano, em escolas situadas na área de distrito de Díli, capital de Timor- Leste. Como métodos de recolha de dados recorremos à entrevista semiestruturada e à análise documental. Em termos de resultados, nota-se que a principal finalidade desta reforma foi a criação dum novo currículo nacional após da independência, o que implicou uma mudança da organização curricular, dos planos curriculares e dos conteúdos da disciplina de Ciências Físico-Naturais. Também se constata a mudança do nome da disciplina, que o nome era Ciência Natureza e agora mudou-se a ser Ciências Físico- Naturais e a mudança do início do ano letivo que passou do mês de agosto para janeiro bem como a mudança de sistema avaliação da aprendizagem. Em termos de resultados, nomeadamente acerca da implementação do novo programa na disciplina de Ciências Físico-Naturais, verificamos que os professores se debatem com dificuldades sobretudo ao nível da língua, uma vez que a língua portuguesa só recentemente foi adotada como língua oficial, com a falta de materiais escolares, de laboratórios que permitam concretizar a vertente experimental do programa e de material informático. Perante estes constrangimentos, a formação contínua de professores, tanto a nível científico como a nível pedagógico-didático, é mais do que nunca necessária.<br>Comme son titre l´indique, cette étude s´inscrit dans le cadre de l´actuelle reforme curriculaire du 3e cycle de l´Enseignement de Base et plus spécifiquement de la discipline de Sciences Physico – Naturelles de la 7e année de scolarité. Nous visons comme objectifs dans ce travail : (i) Connaître les opinions des professeurs du 3e cycle de l´Enseignement de Base, sur la reforme curriculaire en cours au Timor Oriental; (ii) Analyser les principales différences entre l´ancien et le nouveau programme de Sciences Physico – Naturelles de la 7e année de scolarité; (iii) Comprendre comment est – ce que les professeurs de Sciences Physico – Naturelles du 3e de l´Enseignement de Base se sont adaptés au changement du programme de cette discipline; (iv) Identifier les principales difficultés auxquelles les professeurs font face dans l´application du nouveau programme de Sciences Physico – Naturelles de la 7e année de scolarité. A cet effet, une étude exploratoire de nature qualitative a été réalisée. Ont participé à cette étude, cinq directeurs d´école, un directeur général de la pédagogie de l´Education de Base et six professeurs qui enseignent la discipline de Sciences Physico – Naturelles en 7e année, dans des écoles du District de Dili, Capital du Timor Oriental. Nous avons utilisé comme méthode de collecte des données l´entretien semi structuré et l´analyse du document. En termes de résultats, il est à noter que la principale finalité de cette reforme est la création du nouveau curriculum national pos-indépendance, qui a eu pour conséquence le changement de l´organisation curriculaire, des plans curriculaires et des contenus de la discipline de Sciences Physico – Naturelles. Il a été aussi constaté, le changement de nom de la discipline, anciennement Sciences Naturelles et qui maintenant est devenue Sciences Physico – Naturelles, tout comme le changement de la période de début de l´année scolaire qui est passé du mois d´Aout au mois de Janvier et le changement du système d´évaluation de l´apprentissage. En termes de résultats quant à la mise en oeuvre du nouveau programme de la discipline de Sciences Physico – Naturelles, nous avons pu vérifier que les professeurs se débattent avec des difficultés surtout au niveau de la langue, compte tenu du fait que c´est seulement récemment que le portugais a été adopté comme langue officielle. Il est à noter le manque de matériel informatique, ainsi que celui de matériaux scolaires et de laboratoire, qui permettent de mettre en pratique la partie expérimentale du programme. Face à ces difficultés, la formation continue des professeurs, tant au niveau scientifique qu´au niveau pédagogique et didactique, est plus que jamais nécessaire.
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Pedro, Sónia Carina Curto. "Estudo da regra ISNT numa população normal." Master's thesis, 2019. http://hdl.handle.net/10400.6/9819.

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O glaucoma é uma neuropatia ótica progressiva, geralmente associada a um aumento da pressão intraocular (PIO), que resulta em danos estruturais na cabeça do nervo ótico (CNO) e perda funcional do campo de visão. O diagnóstico precoce das alterações da CNO é de extrema importância, já que estas alterações antecedem, muitas vezes, a perda de visão. Em pacientes considerados normais verificou-se que o anel neurorretiniano obedece a um padrão específico em termos de largura. A borda Inferior é a mais larga, seguida da borda superior, da borda nasal e, por fim, a borda temporal. Este padrão é codecido como regra ISNT sendo muito utilizado na avaliação da CNO. Mais tarde, verificou-se que a regra ISNT também se aplica à espessura da camada das fibras nervosas da retina (CFNR) em indivíduos normais. Como a diminuição de espessura da CFNR pode ser um sinal de glaucoma, violações da regra ISNT na CFNR podem indicar uma alteração morfológica glaucomatosa. A grande variabilidade do bordo nasal levou ao aparecimento das variantes da regra ISNT, todas elas sem o envolvimento do bordo nasal. Tem sido bastante estudada a prevalência da regra ISNT e as suas variantes numa população normal. Apesar disso, verifica-se uma grande discrepância na aplicação da regra ISNT entre os vários estudos. Estas discrepâncias baseiam-se essencialmente nas marcações do anel neurorretiniano e nos métodos utilizados. O objetivo principal deste trabalho consiste em estudar a prevalência da regra ISNT numa população normal. De uma forma mais específica consiste em estudar diferentes formas de anotação e medição e perceber o impacto que estas têm na validade da regra ISNT e suas variantes.<br>Glaucoma is a progressive optic neuropathy, usually associated with increased intraocular pressure (IOP), which results in structural damage to the optic nerve head (ONH) and functional loss of the field of vision. The early diagnosis of ONH changes is extremely important, since these changes often precede loss of vision. In patients considered normal, it was verified that the neuroretinal ring obeys a specific pattern in terms of width. The inferior border is the largest, followed by the superior border of the nasal border, and finally the temporal border. This pattern is known as the ISNT rule being widely used in CNO's evaluation. Later, it was found that the ISNT rule also applies to the thickness of the retinal nerve fiber layer (RNFL) in normal individuals. As the decrease in the thickness of the RNFL may be a sign of glaucoma, violations of the ISNT rule in the RNFL may indicate a glaucomatous morphological change. The great variability of the nasal border led to the appearance of variants of the ISNT rule, all without the involvement of the nasal joint. The prevalence of the ISNT rule and its variants in a normal population has been well studied. Despite this, there is a large discrepancy in the application of the ISNT rule among the various studies. These discrepancies are essentially based on neuroretinal ring markers and the methods used. The main objective of this study is to study the prevalence of the ISNT rule in a normal population. In a more specific way, it consists in studying the different forms of annotation and measurement and understanding the impact they have on the validity of the ISNT rule and its variants.
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Books on the topic "CFNN"

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Besley, Scott. CFIN. South Western Cengage Learning, 2011.

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1930-, Brigham Eugene F., ed. CFIN℗ø. South Western Cengage Learning, 2012.

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K, Busch, and Center for Functional Nanostructures, eds. CFN lectures on functional nanostructures. Springer, 2005.

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Vojta, Matthias, Christian Röthig, and Gerd Schön, eds. CFN Lectures on Functional Nanostructures - Volume 2. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14376-2.

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Busch, Kurt, Annie Powell, Christian Röthig, Gerd Schön, and Jörg Weissmüller, eds. CFN Lectures on Functional Nanostructures Vol. 1. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b100127.

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Vojta, Matthias. CFN Lectures on Functional Nanostructures - Volume 2: Nanoelectronics. Springer-Verlag Berlin Heidelberg, 2011.

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Zhengming, Fan, ed. Xiang ju gao qiang shi da ji /cFan Zhengming bian zhu. Yue lu shu she, 2005.

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Roger, Bourderon, ed. Le PCF et de Gaulle en 1943: Le PCF et le CFLN : les ne gociations de l'automne 1943. Institut de Recherches Marxistes, 1986.

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Indonesia. Badan Rehabilitasi & Rekonstruksi. Rebuilding a better Aceh and Nias: Stocktaking of the reconstruction effort : brief for the Coordination Forum Aceh and NIAS (CFAN), October 2005. Badan Rehabilitasi & Rekonstruksi, 2005.

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Bitoo, Robert. Guide musical: Pour les instituteurs, les institutrices et les candidats aux grands examens et concours administratifs CEFEN, CFEN, CAPIA, CAPI, BEPC et BAC. SOPECAM, 1986.

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Book chapters on the topic "CFNN"

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Wang, Jiao, and Xiong Wang. "CFNN Without Normalization-Based Acetone Product Quality Prediction." In Advances in Neural Networks – ISNN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427469_145.

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Xiaoyan, Ma, Yang Jun, He Zhaohui, and Qin Jiangmin. "A Novel CFNN Model for Designing Complex FIR Digital Filters." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881070_12.

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Anbazhagan, S., and Narayanan Kumarappan. "Classification of Day-Ahead Deregulated Electricity Market Prices Using DCT-CFNN." In Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03756-1_45.

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Collar, Ryan, and Kofi Derek O. Boahene. "Cross-Facial Nerve Grafting (CFNG), Procedure." In Encyclopedia of Otolaryngology, Head and Neck Surgery. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-23499-6_361.

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Kwan-Wong, Terence, Gregory H. Borschel, and Ronald Zuker. "Two-Stage Facial Reanimation Using CFNG." In Facial Palsy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50784-8_17.

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Tluczek, Louis, and Xia Shao. "Synthesis of [11C]Carfentanil ([11C]CFN)." In Radiochemical Syntheses. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118140345.ch25.

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Cardenas-Mejia, Alexander, and Jose E. Telich-Tarriba. "Dual Innervation of Free Muscle Transfer with Masseter and CFNG." In Facial Palsy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50784-8_19.

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Zhang, Jie, Shiguang Shan, Meina Kan, and Xilin Chen. "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment." In Computer Vision – ECCV 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10605-2_1.

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Busch, Kurt, Sergei F. Mingaleev, Matthias Schillinger, Daniel Hermann, and Lasha Tkeshelashvili. "Solid State Theory Meets Photonics:The Curious Optical Properties of Photonic Crystals." In CFN Lectures on Functional Nanostructures Vol. 1. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-31533-9_1.

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Weigend, Florian. "Ab Initio Calculations of Clusters." In CFN Lectures on Functional Nanostructures Vol. 1. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-31533-9_10.

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Conference papers on the topic "CFNN"

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Balabanova, Ivelina, Desislava Petrova, and Georgi Georgiev. "Recognition of Face Images by DWT, NB, SVM, FFNN and CFNN Methodology." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811433.

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Shin, Yoo-kyoung, You-rim Park, and Joo Beom Eom. "An implemented fluorescence imaging system for real-time monitoring of colorectal cancer location." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/3d.2024.jf2a.10.

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We report a method for real-time monitoring of colorectal cancer, lymph node metastasis, and tumor growth inhibition of colorectal cancer cells through photodynamic therapy (PDT) using a near-infrared fluorescence diagnostic therapeutic system and fucoidan-based therapeutics. In vitro and in vivo experiments were performed to confirm the effectiveness of the manufactured system and the developed CFN-gel, which has good accumulation efficiency in cancer cells. For comparison of the fabricated CFN-gels, commercial chlorine e6 (Ce6) and 5-aminolevulinic acid (5-ALA) were used. The effectiveness of cancer diagnosis and treatment was confirmed through fluorescence imaging and PDT experiments.
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Wang, Enshu, Jinbo He, Bingyi Liu, Haiyong Shi, Weizhen Han, and Libing Wu. "Task Offloading and Resource Allocation for ICVs in CFNs via Constrained MARL." In 2024 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA). IEEE, 2024. http://dx.doi.org/10.1109/ispce-asia64773.2024.10756255.

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Yuan, Bo, Hongtao Li, and Haisheng Yu. "Research on End-to-end Forwarding Path Selection Method for CFN." In 2024 4th International Conference on Information Communication and Software Engineering (ICICSE). IEEE, 2024. http://dx.doi.org/10.1109/icicse61805.2024.10625667.

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Zhou, Huilin, Xiaxin Yuan, and Liang Xu. "CFN-GU: A Cross-Modal Fusion Network with Gated Units for Emotion Recognition." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709320.

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Varkonyi-Koczy, Annamaria R., and Balazs Tusor. "Man-machine communication via CFNN-based hand sign models." In 2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI 2010). IEEE, 2010. http://dx.doi.org/10.1109/sami.2010.5423705.

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Li, Yang, Zhan Xu, and Jianke Zhu. "CFNN: Correlation Filter Neural Network for Visual Object Tracking." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/309.

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Albeit convolutional neural network (CNN) has shown promising capacity in many computer vision tasks, applying it to visual tracking is yet far from solved. Existing methods either employ a large external dataset to undertake exhaustive pre-training or suffer from less satisfactory results in terms of accuracy and robustness. To track single target in a wide range of videos, we present a novel Correlation Filter Neural Network architecture, as well as a complete visual tracking pipeline, The proposed approach is a special case of CNN, whose initialization does not need any pre-training on the external dataset. The initialization of network enjoys the merits of cyclic sampling to achieve the appealing discriminative capability, while the network updating scheme adopts advantages from back-propagation in order to capture new appearance variations. The tracking pipeline integrates both aspects well by making them complementary to each other. We validate our tracker on OTB-2013 benchmark. The proposed tracker obtains the promising results compared to most of existing representative trackers.
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Hananto, April Lia, Murtalim, Amir, et al. "Cascade-Forward Neural Network (CFNN) for biomass heating value prediction." In 5TH INTERNATIONAL CONFERENCE ON INNOVATIVE DESIGN, ANALYSIS & DEVELOPMENT PRACTICES IN AEROSPACE & AUTOMOTIVE ENGINEERING: I-DAD’22. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0141752.

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Balabanova, Ivelina, and Georgi Georgiev. "Forecasting Teletraffic Performance Using Regression Analysis, FNNN, GRNN and CFNN." In CIEES 2023. MDPI, 2024. http://dx.doi.org/10.3390/engproc2024060011.

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Eddine Ochi, Mohamed Dhia, Chekib Ghorbel, and Naceur Benhadj Braiek. "CFNN-based Exact Linearization Control for a Nonlinear Suspension System." In 2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET). IEEE, 2024. http://dx.doi.org/10.1109/ic_aset61847.2024.10596145.

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Reports on the topic "CFNN"

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Choudhary, Ruplal, Victor Rodov, Punit Kohli, Elena Poverenov, John Haddock, and Moshe Shemesh. Antimicrobial functionalized nanoparticles for enhancing food safety and quality. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7598156.bard.

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Original objectives The general goal of the project was to utilize the bactericidal potential of curcumin- functionalizednanostructures (CFN) for reinforcement of food safety by developing active antimicrobial food-contact surfaces. In order to reach the goal, the following secondary tasks were pursued: (a) further enhancement of the CFN activity based on understanding their mode of action; (b) preparing efficient antimicrobial surfaces, investigating and optimizing their performance; (c) testing the efficacy of the antimicrobial surfaces in real food trials. Background to the topic The project dealt with reducing microbial food spoilage and safety hazards. Cross-contamination through food-contact surfaces is one of the major safety concerns, aggravated by bacterial biofilm formation. The project implemented nanotech methods to develop novel antimicrobial food-contact materials based on natural compounds. Food-grade phenylpropanoidcurcumin was chosen as the most promising active principle for this research. Major conclusions, solutions, achievements In agreement with the original plan, the following research tasks were performed. Optimization of particles structure and composition. Three types of curcumin-functionalizednanostructures were developed and tested: liposome-type polydiacetylenenanovesicles, surface- stabilized nanoparticles and methyl-β-cyclodextrin inclusion complexes (MBCD). The three types had similar minimal inhibitory concentration but different mode of action. Nanovesicles and inclusion complexes were bactericidal while the nanoparticlesbacteriostatic. The difference might be due to different paths of curcumin penetration into bacterial cell. Enhancing the antimicrobial efficacy of CFN by photosensitization. Light exposure strengthened the bactericidal efficacy of curcumin-MBCD inclusion complexes approximately three-fold and enhanced the bacterial death on curcumin-coated plastic surfaces. Investigating the mode of action of CFN. Toxicoproteomic study revealed oxidative stress in curcumin-treated cells of E. coli. In the dark, this effect was alleviated by cellular adaptive responses. Under light, the enhanced ROS burst overrode the cellular adaptive mechanisms, disrupted the iron metabolism and synthesis of Fe-S clusters, eventually leading to cell death. Developing industrially-feasible methods of binding CFN to food-contact surfaces. CFN binding methods were developed for various substrates: covalent binding (binding nanovesicles to glass, plastic and metal), sonochemical impregnation (binding nanoparticles to plastics) and electrostatic layer-by-layer coating (binding inclusion complexes to glass and plastics). Investigating the performance of CFN-coated surfaces. Flexible and rigid plastic materials and glass coated with CFN demonstrated bactericidal activity towards Gram-negative (E. coli) and Gram-positive (Bac. cereus) bacteria. In addition, CFN-impregnated plastic material inhibited bacterial attachment and biofilm development. Testing the efficacy of CFN in food preservation trials. Efficient cold pasteurization of tender coconut water inoculated with E. coli and Listeriamonocytogeneswas performed by circulation through a column filled with CFN-coated glass beads. Combination of curcumin coating with blue light prevented bacterial cross contamination of fresh-cut melons through plastic surfaces contaminated with E. coli or Bac. licheniformis. Furthermore, coating of strawberries with CFN reduced fruit spoilage during simulated transportation extending the shelf life by 2-3 days. Implications, both scientific and agricultural BARD Report - Project4680 Page 2 of 17 Antimicrobial food-contact nanomaterials based on natural active principles will preserve food quality and ensure safety. Understanding mode of antimicrobial action of curcumin will allow enhancing its dark efficacy, e.g. by targeting the microbial cellular adaptation mechanisms.
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Choudhary, Ruplal, Victor Rodov, Punit Kohli, John D. Haddock, and Samir Droby. Antimicrobial and antioxidant functionalized nanoparticles for enhancing food safety and quality: proof of concept. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597912.bard.

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General concept. The reported 1-year study tested the feasibility ofpreparing antimicrobial and antioxidant nanoparticlesfunctionalized with natural phenolic compounds, as a first step to reach the ultimate goal - improving safely and quality of foods by developing novel antimicrobial and antioxidant food-contacting materials. The secondary objectives of the study were (a) selecting the most promising phenoliccompounds, (b) building nanoparticles with the selected phenolicgrafted on their Surface, and (c) testing antimicrobial and antioxidant properties of these particles. The study was expected to provide a " go/no go" decision as concerning the prospects of phenolic- bound nanoparticles as antimicrobial and antioxidant agents. Results. In course of the feasibility study, curucminwas chosen as the most promising phenoliccompound due to its high antibacterial activity exceeding other tested compounds by at leas one order of magnitude. Lipsome-typephospholipid/polydiacetylene(PDA) nanoparticlesfunctionalizedwith curcuminwere successfully built. The pitfall of limited curcumin amount that could be covalently bound to theparticle surface was circumvented by inclusion of curcunun in the liposome body. It was suggested onthe basis of fluorescence spectroscopy that curcuminwas bound by hydrophobic forces in the bi1ayer periphery of the Liposomesand therefore mightexert a contact effect on microorganisms. The curcumin­ functionalizednanoparticles(CFN) were shown to have a strong bactericidal activity towards both Gram-negative (E. coli) and Gram-positive (B. ce,·e11s) bacteria, but only limited effect against yeast. Furthermore, beyond the originallyplanned objectives, preliminary trials showed that CFN could be bound to silanized glass surface rendering aנבtiנnicrobial activity to the glass. Tnaddition, the particles showed antioxidantcapacity. Tberefore, it ,vas co11cluded tlוattlוeaims of tlוefeasibility study bad been successfully reached an
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Ross, Peter, Samantha Scott, Marie Noel, and Roxanne Kooistra. Sqwa:la (Hope Slough) watershed: Water quality report for the 2023 wet season. Raincoast Conservation Foundation, 2024. http://dx.doi.org/10.70766/81.8319.

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Water is essential for life, and steps are needed to understand, protect and restore its health in fish habitat throughout British Columbia. The Raincoast Healthy Waters program was launched in 2023 to establish community-oriented water pollution monitoring in select BC watersheds. Two Healthy Waters sampling events take place every year in each watershed, the first in the dry season (summer), and the second being in the wet season (winter). This report highlights results from the first wet (winter) season sampling carried out with the support and participation of Pelólxw Tribe. Briefly, the Healthy Waters – CFN team determined basic water properties (temperature, conductivity, pH, dissolved oxygen and turbidity) in situ at sampling sites on December 20, 2023. Water samples were collected from four water categories, including source water (3 samples), stream and river water (3 samples), road runoff (3 samples), and Fraser River water (3 samples). Samples were then pooled by water category and analysed for coliform, metals, nutrients and physical parameters, pesticides, polycyclic aromatic hydrocarbons (PAHs), pharmaceuticals and personal care products (PPCPs), polychlorinated biphenyls (PCBs), alkylphenol ethoxylates (APEs), bisphenols, per- and poly-fluoroalkyl substances (PFAS), sucralose and 6-PPD Quinone. Overall, the Sqwa:la (Hope Slough) watershed had relatively good water quality in the wet season, but additional sampling and analysis will provide additional insight into contamination impacts from forest fires, domestic wastewater, industrial chemicals and runoff (roads, agriculture) on the health of this valued watershed.
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Reporte de Mercados - Primer trimestre de 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/rmf-1-trim.2023.

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El Banco de la República (Banrep) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el \textit{Reporte de Mercados Financieros} está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad. En línea con lo anterior, este reporte busca proveer al público un análisis general del comportamiento y las tendencias de los mercados financieros nacionales e internacionales. Adicionalmente, señala los principales factores que permiten explicar el comportamiento de dichos mercados y sus interacciones, sí como una descripción de los principales cambios en política monetaria y decisiones de los bancos centrales a nivel mundial. El entorno económico global en el que se desenvuelven los mercados que este reporte estudia, continúa inmerso en un escenario de bajas perspectivas de crecimiento, una inflación que sigue sorprendiendo por su alta persistencia, tensiones geopolíticas y la presencia de factores de riesgo en el frente financiero que pueden materializarse ante un escenario macroeconómico más complejo. Por su parte, los agentes del mercado han balanceado diferentes fuentes de información para discernir acerca de la posible senda de la política monetaria global, dados sus efectos en los distintos mercados. Sin embargo, al final del primer trimestre de 2023 primó la expectativa de una postura menos contractiva por parte de la Fed, teniendo en cuenta que aunque las autoridades han manifestado su valoración sobre la resiliencia del sector bancario tras la quiebra de algunos bancos regionales, se percibe una alta reactividad de los inversionistas ante las noticias sobre el desempeño de los sectores económicos, la inflación, el mercado laboral y la dinámica del crédito y, por tanto, en las condiciones financieras en EE.UU (Ver Entorno Internacional). Con respecto a la evolución de las variables macroeconómicas y las expectativas de la evolución de la política monetaria futura en el contexto local, los agentes del mercado descuentan para 2023 una senda de inflación decreciente y una desaceleración en la dinámica económica consistente con perspectivas de una postura de política monetaria contractiva por parte del Banrep. En este entorno, el mercado descuenta para el segundo trimestre del año el fin del ciclo de incrementos de la tasa de interés de referencia por parte del Banrep así como el inicio de reducciones en la tasa de interés hacia el segundo semestre del año (Ver política monetaria y mercado monetario local). Con respecto al mercado de deuda pública local, este presentó un comportamiento favorable, superior a los pares de la región, que contrasta con su comportamiento durante 2022, en línea con la reducción en las perspectivas de tasa de política monetaria de la Fed y una mayor liquidez de este mercado. En todo caso, las tasas en este mercado sugieren un costo de financiamiento relativamente elevado (ver Mercado de deuda pública interna y externa – Gráfico 1). El mercado monetario exhibió amplios niveles de liquidez que se corrigieron durante el periodo. Al mismo tiempo, persiste una alta percepción de riesgo país, que coincide con la permanencia de fuentes de vulnerabilidad externa y fiscal, así como con la incertidumbre sobre el desenlace de la agenda de reformas del gobierno (Ver Percepción de riesgo a nivel local). Como consecuencia, los inversionistas extranjeros realizaron ventas de títulos de deuda pública en el trimestre, aunque se observó un comportamiento volátil y las ventas fueron realizadas por algunos agentes puntuales y estuvieron concentradas en algunas referencias específicas. Por su parte, para la deuda privada, se identifica un fuerte dinamismo del mercado de CDTs en el periodo reciente, mientras que las colocaciones en otros títulos de deuda privada siguen perdiendo dinamismo (Ver Mercado de deuda privada). En este reporte se estudia los factores que pudieron guiar el fuerte aumento del diferencial entre los CDTs y los TES en el periodo reciente. Se encuentran indicios de una posible relación entre el spread con factores tales como la tasa de política monetaria y sus expectativas, unas mayores expectativas de inflación, un alto crecimiento de la cartera acompañado de la entrada en vigor del CFEN, una alta concentración en el mercado de tenedores de CDT y una mayor percepción de riesgo (Ver Recuadro 1. Análisis del spread entre las tasas de los CDT y TES). En cuanto al mercado cambiario, el peso colombiano se apreció y volvió a niveles no vistos en cerca de seis meses, en línea con correcciones en la fortaleza del dólar a nivel internacional. No obstante, sus niveles se mantienen aún desviados de las monedas de los países pares de la región (Ver Mercado Cambiario – Gráfico 1). Finalmente, el mercado accionario local, continúa exhibiendo un desempeño débil en comparación con los pares de la región, en un entorno de baja liquidez. Las acciones del sector bancario, que tienen un peso importante sobre índice local presentaron caídas importantes, en línea con las referencias globales, ante los eventos adversos en algunas entidades financieras de EE. UU. y Suiza (Ver Mercado accionario – Gráfico 1).
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Reporte de Mercados - Tercer trimestre de 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/rmf-3-trim.2023.

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En el tercer trimestre del año continuó la moderación de los elevados niveles de inflación a nivel global. Ante una actividad económica más fuerte de lo anticipado en las economías desarrolladas, así como las expectativas en torno a una senda de política monetaria más contractiva, la deuda pública global se desvalorizó. Por su parte, los activos de mayor riesgo también se han visto afectados en la coyuntura reciente, por cuenta de eventos que han incidido en una reducción del apetito por riesgo de los inversionistas. Las presiones inflacionarias a nivel global permanecen en niveles elevados, aunque siguieron presentando una tendencia a la baja en la mayoría de los países, principalmente por menores presiones de oferta • Los principales bancos centrales de economías desarrolladas continuaron con un ciclo de aumentos de tasa de interés, los mercados siguieron descontando una senda de política monetaria más contractiva y los títulos de deuda pública se desvalorizaron. • Por su parte los bancos centrales de algunos países de la región (Brasil, Chile y Perú) iniciaron un ciclo de recortes de su tasa de política monetaria (TPM), lo cual está en línea con la corrección de la inflación y sus expectativas en estos países. • Las expectativas de inflación de mercado de mediano aumentaron levemente para los países desarrollados y en la región lo hicieron las de corto plazo. Esto se explica principalmente por la materialización de algunos factores de riesgos en el panorama inflacionario, como las presiones de oferta que incidieron en el aumento de los precios del petróleo en el periodo. La actividad económica se mostró más resiliente de lo esperado, con mejoras leves en la perspectiva de crecimiento global para este año y reducciones para el siguiente año. La percepción de riesgo aumentó a nivel global principalmente por preocupaciones en el frente fiscal de EE.UU. y sobre el desempeño económico de China. • La actividad económica ha sorprendido de manera favorable al mercado en la mayoría de los países, especialmente aquellos intensivos en actividades asociadas con el sector servicios (e.g. Estados Unidos y México), mientras que en aquellos intensivos en actividades manufactureras (e.g. Alemania y China) la tendencia ha sido contraria. • Algunos activos de mayor riesgo, incluyendo las acciones, y la deuda de largo plazo presentaron un desempeño negativo por una reducción en el apetito por riesgo, debido a los impactos de una mayor incertidumbre frente al futuro fiscal de Estados Unidos. • Se evidenciaron dificultades en las negociaciones entre el Congreso y el Gobierno de EE.UU. frente al techo de la deuda y el gasto público. En relación con esto Fitch redujo la calificación crediticia de la deuda soberana de este país. A nivel local, los agentes del mercado descontaron una senda de política monetaria más contractiva por parte del Banco de la República (Banrep) y los títulos de deuda pública se desvalorizaron en línea con lo observado a nivel global. • La deuda pública local presentó una desvalorización superior a los pares de la región, debido a la mayor sensibilidad a factores externos que han mostrado los títulos colombianos en el período reciente. • La curva de rendimientos en pesos se empinó, revirtiendo la tendencia de reducciones en su pendiente observada en el primer semestre del año. • Los inversionistas extranjeros acentuaron las ventas de títulos de deuda pública en el trimestre, las cuales podrían estas asociadas con tomas de utilidad y recomposiciones dadas las valorizaciones acumuladas por los títulos colombianos durante el año. • Las salidas de los inversionistas extranjeros fueron compensadas por entradas por parte de los fondos de pensiones locales, que acumulan compras récord en lo corrido del año. El mercado monetario continuó operando de manera adecuada y el IBR overnight se ubicó muy cerca de la tasa de política monetaria establecida por la junta Directiva del Banrep (JDBR), en línea con el cumplimiento del objetivo operativo de la política monetaria. • El Banco de la República ofreció repos a distintos plazos y realizó compras en el mercado de deuda pública con el objetivo de suministrar liquidez permanente a la economía y evitar que el IBR se desvíe de la TPM. • En este periodo se corrigieron los diferenciales entre las tasas de los CDT y TES, en parte por las medidas tomadas por la Superintendencia Financiera de Colombia sobre la modificación de algunos ponderadores del fondeo estable disponible que hace parte del requerimiento del CFEN, así como las medidas implementadas por el Banco de la República para suministrar liquidez. En cuanto al mercado cambiario, el peso colombiano se siguió apreciando, a diferencia de las monedas de los países pares de la región • La tasa de cambio alcanzó niveles no observados desde inicios del año pasado. • El peso colombiano se vio favorecido por el aumento de los precios del petróleo, una percepción de riesgo local estable y expectativas de una política monetaria más restrictiva por parte del Banrep. • La mayoría de las monedas de países emergentes se depreciaron ante el fortalecimiento generalizado del dólar y el aumento de la percepción de riesgo a nivel global tras preocupaciones por la desaceleración del crecimiento económico de China Recuadro 1: Situación reciente de liquidez y el rol del Banco de la República Autores: Andrés Murcia Pabón y Wilmar Cabrera Recuadro 2: Relación entre el mercado de los Overnight Index Swap y el de los Títulos de Tesorería (TES) Autores: Alfredo Iván Hincapié Martínez, Diego Alejandro Rojas Prieto, Kimberly Rojas Silva y Cristhian Hernando Ruíz Cardozo Recuadro 3: Caracterización de inversionistas extranjeros en el mercado de contado de TES Oscar David Botero Ramírez y Cristhian Hernando Ruíz Cardozo Recuadro 4: Análisis de los flujos de inversionistas extranjeros en la volatilidad del mercado de contado de TES Oscar David Botero Ramírez y Camilo Andrés Orozco Vanegas
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